Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body that walks through a live integration test with executable commands, a control comparison, an explicit validation checklist, and targeted troubleshooting. It stays lean and assumes competence throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it does not explain what llamacpp, Boost, or modules are conceptually, and each section (prerequisites, command, prompt table, troubleshooting) earns its tokens. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands such as 'harbor launch --workflow <module_name> --model "<base_model_id>" pi -p --no-tools --no-session "<prompt>"' and a complete curl one-liner, with placeholders clearly marked. | 3 / 3 |
Workflow Clarity | A clear numbered sequence (read source → run with module → run control → compare) with explicit validation checkpoints, a comparison/feedback loop, and a validation checklist with troubleshooting error→fix guidance. | 3 / 3 |
Progressive Disclosure | No bundle files exist, so the single-purpose skill relies on well-organized inline sections and one-level-deep pointers to source files ('services/boost/src/modules/<name>.py'); per the simple-skills note this is appropriate. | 3 / 3 |
Total | 12 / 12 Passed |